Danail Stoyanov; Zeike Taylor; Simone Balocco; Rap Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis 9783030013639

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Автор: Danail Stoyanov; Zeike Taylor; Simone Balocco; Rap
Название: Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
ISBN: 9783030013639
Издательство: Springer
Классификация:

Влияние ИТ на охрану здоровья и безопасность

Технология разработки программного обеспечения

Компьютерные сети и коммуникации

Искусственный интеллект

Обработка изображений

ISBN-10: 3030013634
Обложка/Формат: Soft cover
Страницы: 202
Вес: 0.34 кг.
Дата издания: 2018
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 65 illustrations, color; 46 illustrations, black and white; xvii, 202 p. 111 illus., 65 illus. in color.
Размер: 234 x 156 x 12
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed joint proceedings of the 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the Third International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 9 full papers presented at CVII-STENT 2017 and the 12 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.
Дополнительное описание: Blood-flow estimation in the hepatic arteries based on 3D/2D angiography registration.- Automated quantification of blood flow velocity from time-resolved CT angiography.- Multiple device segmentation for fluoroscopic imaging using multi-task learning.- S

Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, Danail Stoyanov; Zeike Taylor; Simone Balocco; Rap